Application Engineer

Applied Materials • Santa Clara, CA

1d • $100,000 - $136,500 • Onsite

About The Position

We are looking for an Application Engineer to develop and deploy advanced analytics for complex industrial systems. In this role, you will work at the intersection of engineering domain knowledge, data analytics, and AI/ML, helping translate operational needs into scalable, production‑ready analytical solutions used in real manufacturing environments. This is a hands‑on technical role that collaborates closely with product, software, and customer‑facing teams to deliver high‑impact digital solutions from concept to deployment.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Science or a related field.
• 5+ years of relevant experience with a Bachelor’s degree, or 2+ years with a Master’s degree, in application engineering, algorithm development, or related technical roles
• Experience in industrial, manufacturing, or complex system environments strongly preferred
• Experience with model/version lifecycle management, release processes, or production software environments
• Self-starter with strong problem-solving skills and a research-oriented mindset
• Ability to translate data insights into practical engineering decisions
• Strong ability to work across engineering, software, and data analytics domains
• Hands-on experience analyzing and working with real-world equipment or operational datasets
• Comfortable working with ambiguous or incomplete problem definitions and driving them into structured solutions
• Ability to understand and reason about complex systems and interactions across multiple components
• Basic programming skills (Python, R, or similar) for data analysis and prototyping
• Practical familiarity with applying modern AI/ML techniques (including Generative AI) to knowledge extraction, summarization, or decision support
• Comfortable working in cross-functional, global teams
• Highly organized and able to manage multiple parallel technical initiatives
• Strong written and verbal communication skills
• Comfortable leading technical discussions and troubleshooting complex problems
• Motivated to see solutions move from concept → deployment → scale

Nice To Haves

• Exposure to semiconductor equipment systems
• Exposure to advanced AI/ML techniques (e.g., deep learning, optimization, or large-scale data systems)
• Experience supporting customer-facing or field-deployed technical solutions
• Strong software development experience in Python, R, C#, or similar (production-quality code, system integration)

Responsibilities

• Break down complex engineering problems and unstructured domain knowledge into structured analytical inputs
• Analyze operational data to identify patterns, anomalies, and actionable insights for system performance improvement
• Identify edge cases, gaps, and failure modes in analytical solutions and drive continuous improvements
• Interpret model outputs and translate results into engineering recommendations
• Design, develop, and maintain analytics and algorithmic models for industrial applications
• Prototype new algorithmic approaches and support transition into production software
• Own the performance and reliability of deployed solutions and continuously improve them
• Manage analytics lifecycle activities including validation, versioning, and release readiness
• Validate analytical models against real-world scenarios, including false positive / false negative analysis, and ensure robustness and practical usability before and after deployment
• Work closely with domain experts (e.g., engineering teams) to translate domain knowledge into scalable solutions
• Collaborate with product, software, and field teams to deploy and continuously improve solutions
• Participate in technical requirements definition, prioritization, and schedule alignment
• Produce clear technical documentation, reports, and presentations to support development, validation, and deployment

Benefits

• Supportive work culture that encourages learning, development, and career growth
• Programs and support that encourage personal and professional growth and care for employees at work, at home, or wherever they may go
• Comprehensive benefits package
• Eligibility for other forms of compensation such as participation in a bonus and a stock award program, as applicable

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level